metadata
language:
- es
- maz
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_maz
results: []
byt5-base-es_maz
This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7418
- Bleu: 6.8783
- Gen Len: 99.7771
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 65
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 393 | 1.0332 | 0.0452 | 19.0 |
| 1.5229 | 2.0 | 786 | 0.9129 | 0.1159 | 19.0 |
| 1.0464 | 3.0 | 1179 | 0.8561 | 0.1479 | 19.0 |
| 0.9477 | 4.0 | 1572 | 0.8148 | 0.1678 | 19.0 |
| 0.9477 | 5.0 | 1965 | 0.7879 | 0.1791 | 19.0 |
| 0.8888 | 6.0 | 2358 | 0.7708 | 0.1628 | 19.0 |
| 0.8517 | 7.0 | 2751 | 0.7597 | 0.1582 | 19.0 |
| 0.8279 | 8.0 | 3144 | 0.7492 | 0.1683 | 19.0 |
| 0.8107 | 9.0 | 3537 | 0.7442 | 0.1704 | 19.0 |
| 0.8107 | 10.0 | 3930 | 0.7418 | 0.1683 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3